Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add anycap-ai/anycap --skill anycap-ai-tool-seogit clone --depth 1 https://github.com/anycap-ai/anycapWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/anycap-ai/anycap/anycap-ai-tool-seo)<a href="https://agentmods.dev/skills/anycap-ai/anycap/anycap-ai-tool-seo"><img src="https://agentmods.dev/badge/skills/anycap-ai/anycap/anycap-ai-tool-seo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/anycap-ai/anycap/anycap-ai-tool-seo"><img src="https://agentmods.dev/badge/skills/anycap-ai/anycap/anycap-ai-tool-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00151 | $0.01728 |
| Opus 5 | $0.00076 | $0.00864 |
| Sonnet 5 | $0.00030 | $0.00346 |
| Haiku 4.5 | $0.00015 | $0.00173 |
Grade A, and why
anycap-ai-tool-seo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AnyCap AI Tool SEO
Read this entire file before starting. It covers the full SEO planning and audit workflow for AI tool websites.
Plan and audit SEO for AI tool websites. Focus on product-led SEO where each page should help a searcher complete a task, evaluate options, or enter the product with high intent.
Map intent. Shape pages. Add evidence. Protect quality.
Before You Start
Read all three reference files before taking any action. They contain the working framework, page planning rules, and quality guardrails.
- Read this file for the overview and process
- Read the references in this order:
- Then begin the workflow below
For detailed command syntax, flags, and output parsing, refer to the anycap-cli skill.
Prerequisites
anycapCLI installed and authenticated (anycap statusto verify)- A local workspace for notes, saved search results, and page briefs
When to Use This Skill
- AI tool website SEO planning
- SaaS or product-led SEO audits
- Search intent to page type mapping
- Page brief creation for tool, comparison, alternatives, pricing, and tutorial pages
- Technical SEO prioritization for new or growing tool websites
- Citation, directory, or backlink planning
- Programmatic SEO evaluation and rollout gating
SEO Planning Process
graph LR
A[Understand Site and ICP] --> B[Inspect Live SERP]
B --> C[Choose Page Type]
C --> D[Define Information Gain]
D --> E[Check Technical and Trust Signals]
E --> F[Prioritize and Deliver]
Work through the steps below in order. Skip only when you already have high-confidence answers.
1. Understand the site and the searcher
- Crawl the homepage, pricing page, docs/help center, and one representative tool or feature page.
- Infer:
- the core job-to-be-done
- primary user, buyer, and learner
- target geography and language
- primary conversion event
- Use the 6-field ICP template in framework.md.
- If the user only provides a URL, infer first and ask follow-up questions only when the missing context would materially change the plan.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed eb80a1f10bc4
- 12d ago First seen · 162 lines · 151 tokens per session scan A 3e576ca1a993
anycap-ai-tool-seo is a skill published in the GitHub repository anycap-ai/anycap (43 stars, last pushed 4d ago), licensed MIT. It adds 151 tokens to every session and 1,728 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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